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This paper investigates how the visual areas of the brain may learn to segment the bodies of humans and other animals into separate parts. A neural network model of the ventral visual pathway, VisNet, was used to study this problem. In particular, the current work investigates whether independent motion of body parts can be sufficient to enable the visual system to learn separate representations of them even when the body parts are never seen in isolation. The network was shown to be able to separate out the independently moving body parts because the independent motion created statistical decoupling between them.

Original publication




Journal article


Vision Res

Publication Date





553 - 562


Brain, Human Body, Humans, Models, Neurological, Motion Perception, Recognition (Psychology), Visual Pathways, Visual Perception